Manager, Product & Analytics

Job Description

Manager, Product & Analytics | Markel

The Tone:
This is a full-time role at Markel, operating in a hybrid capacity within the US. Markel Group is a Fortune 500 company specializing in insurance, reinsurance, specialist advisory, and investment operations globally. The work at Markel gives people the confidence to seize opportunities, and this role contributes directly by leading the MPL data analytics team. You will drive the delivery of high-quality, timely analytical solutions that empower business objectives, playing a significant part in developing the team and fostering strong relationships with stakeholders within a community of optimists and problem-solvers.

The TL;DR
• Role: Full Time
• Type: Full-time
• Location: Hybrid

• Team: Leads the MPL data analytics team
• Mission: Leads the MPL data analytics team, owning team delivery, people development, and stakeholder relationships to ensure high-quality, timely analytical solutions that support business objectives.
• Tech Stack: SQL, DAX, Microsoft analytics tools, BI platforms, data visualization, Python, R, statistical methods, predictive modeling

What You’ll Actually Do
• Analytics Strategy: Define and maintain the analytics strategy and multi-year roadmap in alignment with MPL priorities.
• Team Management: Hire, coach, and develop data analysts, manage workload and capacity, and sustain reliable delivery of solutions.
• Data Governance: Own data quality, governance, privacy, security, regulatory compliance, and responsible data-use practices.
• Technical Direction: Set technical standards and tooling for reporting, statistical analysis, modeling, and visualization, championing automation and self-service.
• Stakeholder Collaboration: Represent analytics with senior leaders, build cross-functional partnerships, and provide data-driven insights to Product Managers for P&L management.

The Must-Haves
• Background: Manager. Bachelor’s degree preferred in analytics, statistics, mathematics, computer science, economics, business, or actuarial science, or a related field. Core domain knowledge in data governance and insurance operations.
• Experience: 7+ years of analytics or reporting experience, including 2+ years leading, coaching, or mentoring teams. Demonstrated success managing analytics portfolios, priorities, projects, and resources.
• Skills: Advanced proficiency with SQL, DAX, Microsoft analytics tools, BI platforms, and data visualization. Excellent problem solving, executive communication, stakeholder management, and change-leadership skills.
• Bonus: Working knowledge of Python or R, statistical methods, predictive modeling, and modern analytics practices. Personal lines insurance experience preferred.